Spatial Data Validation
Spatial Data Validation is a methodological process within collaborative mapping that systematically assesses the accuracy, consistency, and reliability of geographic information contributed by multiple sources to ensure conformity with predefined spatial data quality standards.
43
Publications
2.7K
Citations
180
Authors
88
Institutions
Publications per year
2017–2026
17
Parents
43
Spatial cross-validation is not the right way to evaluate map accuracy
Alexandre M.J.‐C. Wadoux, G.B.M. Heuvelink, Sytze de Bruin et al. · Ecological Modelling · 2021 · 261 citations
Computing, Geography, Geoinformatics +12
Spatial validation of crop models for precision agriculture
Bruno Basso, J. T. Ritchie, Francis J. Pierce et al. · Agricultural Systems · 2001 · 216 citations
Towards quality metrics for OpenStreetMap
Peter Mooney, Padraig Corcoran, Adam C. Winstanley · 2010 · 205 citations
Computing, Geography, Geoinformatics +16
1–5 of 43
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International Institute for Applied Systems Analysis, Austria
2 publications · 58 citations
2
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2
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1–5 of 180
88
Wageningen University & Research
Wageningen, The Netherlands
2 h-index
6 publications
1.2K citations
SUNY College of Environmental Science and Forestry
Syracuse, United States
2 h-index
2 publications
46 citations
University of Zurich
Zurich, Switzerland
2 h-index
5 publications
206 citations
University of Verona
Verona, Italy
2 h-index
4 publications
66 citations
Politecnico di Milano
Milan, Italy
2 h-index
4 publications
66 citations
International Institute for Applied Systems Analysis
Laxenburg, Austria
2 h-index
7 publications
213 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
6 publications
135 citations
UCLouvain
Louvain-la-Neuve, Belgium
2 h-index
5 publications
305 citations
1–8 of 88
2 publications · 61 citations
2
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2 publications · 461 citations
2
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2 publications · 34 citations
2
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IJBNPA · 1 publications · 34 citations
1
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1 publications · 100 citations
1
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1–5